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R Programming: R Data Analysis and Statistics
Interested in statistical computing ?
R Programming : Data Analysis and Statistics is a beginner-friendly book. It is written in an accessible way, and deal with the basics as well as more complex problems.
No prior statistical knowledge is required.
The following topics are covered :
• R programming Data Manipulation
• R Data Visualization
• Large Datasets Data Analysis and Statistics
• R Supervised Learning
• And much more
This book may also help more advanced programmers expand their skills.
R Programming : Data Analysis and Statistics is a beginner-friendly book. It is written in an accessible way, and deal with the basics as well as more complex problems.
No prior statistical knowledge is required.
The following topics are covered :
• R programming Data Manipulation
• R Data Visualization
• Large Datasets Data Analysis and Statistics
• R Supervised Learning
• And much more
This book may also help more advanced programmers expand their skills.
193 pages, Paperback
Published April 25, 2022
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Displaying 1 of 1 review
February 9, 2025
I got to page 42 and could not continue wasting my time. This was a waste of paper. Here is my “review on Thriftbooks where I bought it:
I can't blame translation, because I have seen bad translations. This is just word salad. I pushed through the first 3 chapters and that was painful. There are typos for function and package names, because no one proofread it. There are references to packages that were "depreciated" or pulled 5 years and a whole version before the Copyright date. The code snippets are useless. Boxed text so you can't tell what is comment and next line. Multiple commands on the same line with inexplicable ">". Variable assignments that are not defined properly. (Does Andy even know R?) Calls to data structures that don't exist. Function calls that are not correct. So the code doesn't work. This was a complete waste of money and my day. The only positive is that I found the worst example of a programming book.
I can't blame translation, because I have seen bad translations. This is just word salad. I pushed through the first 3 chapters and that was painful. There are typos for function and package names, because no one proofread it. There are references to packages that were "depreciated" or pulled 5 years and a whole version before the Copyright date. The code snippets are useless. Boxed text so you can't tell what is comment and next line. Multiple commands on the same line with inexplicable ">". Variable assignments that are not defined properly. (Does Andy even know R?) Calls to data structures that don't exist. Function calls that are not correct. So the code doesn't work. This was a complete waste of money and my day. The only positive is that I found the worst example of a programming book.
Displaying 1 of 1 review